Online analysis of coal slime water particle size based on RRSB characteristic parameters

Abstract

ABSTRACT Because slime water grain size variations cannot be accurately assessed in coal preparation plants during production, a method for determining the particle size distribution (PSD) based on Rosin – Rammler–Sperling – Bennett (RRSB) characteristic parameters is proposed. This study performed an industrial real-time sampling of coal slime water at four test points in a coal preparation plant, using an online sampler and a mechanical-pressing particle size measuring device. The measurement accuracy test was confirmed through testing such that production requirements were met. Taking the feeding of the concentration tank as an example, three distribution laws were verified, and the results showed that the PSD fit well with the RRSB distribution function, where the characteristic parameter was 0.074 and the critical particle size was 0.047 mm. In addition, after changing the parameters through gradation, reflected the change of the dominant particle size range, while indicated the direction of the particle size change. Through this successful application, show that employing a set of characteristic parameters based on RRSB PSD – obtained via an online granularity analysis system analyzing slurry particle size trends – has good potential for addressing the problem at hand.